ABSTRACT
Initiated by the Chinese president Xi Jinping in 2013, the Belt and Road initiative (BRI) is a multi-trillion-dollar agenda for facilitating trade and investment, especially massive infrastructural developments. In recent years, discussions around the BRI have been increasing as more than 130 countries and 30 international organizations have officially joined the initiative [1], collaborating in a series of transnational infrastructure projects funded by Chinese companies or the Chinese state. This dataset provides 500,711 posts and 714,794 reposting threads related to the BRI on Twitter. The dataset was collected through the Twitter API by applying a set of keywords: "belt and road", "one belt one road", "new silk road", "maritime silk road", and "silk road economic belt", which included the words and their hashtag forms to download the raw data from Twitter. The time series of the dataset is from 7 September 2013 to 30 November 2021. Furthermore, the dataset is annotated in terms of languages, emotional polarity, geopolitical entities, and credibility by employing textual analytics in language detection, neural machine translation, and lexicon-based sentiment analysis. To facilitate future research, we classified the dataset into three databases that can be analyzed separately and reused in research related to various fields, such as political science, network science, and sociology to study public opinions about the BRI and their dissemination patterns.
ABSTRACT
With the climate change and the acceleration of urbanization, urban flood disaster is becoming increasingly frequent, leading to more severe impact than in the past. The traditional disaster alleviation strategies have gradually expanded to non-engineering disaster reduction strategies. As urban public property, public facility is more available than private land, making it the preferred strategy of site selection for urban land flood diversion. However, due to the limited government finance, how to select public facilities as the multi-use detention basin to maximize the disaster reduction and external benefits is an issue that needs to be considered before planning and decision-making. This study builds an operable decision model of site selection of urban public facilities as multi-use detention basin from the perspective of environmental efficiency. The decision model analyzes the expected costs and benefits of the multi-use detention basin based on data envelopment analysis (DEA) and cross-efficiency analysis, so as to establish the optimal combination of alternative schemes of site selection. It further compares with the traditional detention basin considering only disaster reduction efficiency to summarize how to improve the strategy of selecting multi-use detention basin site within the watershed in the future. This paper uses the watershed of Dajiaxi as a case study, and finds that (I) there is a certain trade-off relationship between the optimized schemes established from the perspective of environmental efficiency and disaster reduction efficiency evaluation. The scheme with the highest disaster reduction efficiency does not necessarily increase the external benefit significantly; (II) for the inefficient schemes, the difference between the site selection schemes and the ideal efficiency value can be measured through slack variable analysis.
